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At least 16 companies developing Deep Learning chips
Google and Wave Computing have working silicon and are conducting customer trials.
* Wave Computing says its 3U deep learning server can train AlexNet in 40 minutes, three times faster than NVIDIA's P100 DGX-1 server.
* Wave Computing's claim that its TPU is 1000 times faster.
* NVIDIA has improved the architectural efficiency of its GPUs by roughly 10x over the last few years
Chinese AI chip startup has received $100 million in funding.
Cambricon Technologies aims to have one billion smart devices using its AI processor and own 30% of China's high-performance AI chip market in three years.
Huawei estimates Cambricon chips are six times faster for deep-learning applications like training algorithms to identify images than a GPU.